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Amazon AWS-Solutions-Architect-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Cost-Optimized Architectures	20%	- Design cost-optimized network architectures 1. Network service selection 2. Traffic routing efficiency 3. Data transfer cost optimization - Design cost-optimized storage solutions 1. Data lifecycle management 2. Storage class selection 3. Cost monitoring and optimization - Design cost-optimized compute solutions 1. Instance selection and purchasing options 2. Serverless and managed services 3. Right-sizing and scaling
Topic 2: Design Secure Architectures	30%	- Design secure workloads and applications 1. Threat detection and mitigation 2. Data protection 3. Security by design principles - Design access management 1. Resource access control 2. Federated access 3. Identity and access management - Design secure network architectures 1. Edge security 2. Traffic protection 3. Network isolation and segmentation
Topic 3: Design Resilient Architectures	26%	- Design highly available and fault-tolerant architectures 1. Disaster recovery strategies 2. Fault tolerance mechanisms 3. High availability configurations - Design resilient compute solutions 1. Compute redundancy 2. Auto-scaling and elasticity 3. Workload distribution - Design resilient storage solutions 1. Replication and backup 2. Data consistency models 3. Storage durability and availability
Topic 4: Design High-Performing Architectures	24%	- Design high-performing compute solutions 1. Compute selection and sizing 2. Parallel processing 3. Workload optimization - Design high-performing network architectures 1. Global acceleration 2. Content delivery 3. Network throughput and latency - Design high-performing storage solutions 1. Caching strategies 2. Data access patterns 3. Storage performance optimization

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q325-Q330):

NEW QUESTION # 325
A company performs monthly maintenance on its AWS infrastructure. During these maintenance activities, the company needs to rotate the credentials tor its Amazon ROS tor MySQL databases across multiple AWS Regions Which solution will meet these requirements with the LEAST operational overhead?

A. Store the credentials as secrets in AWS Systems Manager by creating a secure string parameter Use multi-Region secret replication for the required Regions Configure Systems Manager to rotate the secrets on a schedule
B. Encrypt the credentials as secrets by using AWS Key Management Service (AWS KMS) multi-Region customer managed keys Store the secrets in an Amazon DynamoDB global table Use an AWS Lambda function to retrieve the secrets from DynamoDB Use the RDS API to rotate the secrets.
C. Store the credentials as secrets in AWS Secrets Manager. Use multi-Region secret replication for the required Regions Configure Secrets Manager to rotate the secrets on a schedule
D. Store the credentials in an Amazon S3 bucket that has server-side encryption (SSE) enabled Use Amazon EventBridge (Amazon CloudWatch Events) to invoke an AWS Lambda function to rotate the credentials

Answer: C

Explanation:
https://aws.amazon.com/blogs/security/how-to-replicate-secrets-aws-secrets-manager-multiple-regions/

NEW QUESTION # 326
A manufacturing company has machine sensors that upload .csv files to an Amazon S3 bucket. These .csv files must be converted into images and must be made available as soon as possible for the automatic generation of graphical reports.
The images become irrelevant after 1 month, but the .csv files must be kept to train machine learning (ML) models twice a year. The ML trainings and audits are planned weeks in advance.
Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)

A. Create S3 Lifecycle rules for .csv files and image files in the S3 bucket. Transition the .csv files from S3 Standard to S3 Glacier 1 day after they are uploaded. Expire the image files after 30 days.
B. Create S3 Lifecycle rules for .csv files and image files in the S3 bucket. Transition the .csv files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 1 day after they are uploaded. Keep the image files in Reduced Redundancy Storage (RRS).
C. Design an AWS Lambda function that converts the .csv files into images and stores the images in the S3 bucket. Invoke the Lambda function when a .csv file is uploaded.
D. Launch an Amazon EC2 Spot Instance that downloads the .csv files every hour, generates the image files, and uploads the images to the S3 bucket.
E. Create S3 Lifecycle rules for .csv files and image files in the S3 bucket. Transition the .csv files from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA) 1 day after they are uploaded. Expire the image files after 30 days.

Answer: A,C

Explanation:
These answers are correct because they meet the requirements of converting the .csv files into images, making them available as soon as possible, and minimizing the storage costs. AWS Lambda is a service that lets you run code without provisioning or managing servers. You can use AWS Lambda to design a function that converts the .csv files into images and stores the images in the S3 bucket. You can invoke the Lambda function when a .csv file is uploaded to the S3 bucket by using an S3 event notification. This way, you can ensure that the images are generated and made available as soon as possible for the graphical reports. S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle. You can create S3 Lifecycle rules for .csv files and image files in the S3 bucket to transition them to different storage classes or expire them based on your business needs. You can transition the
.csv files from S3 Standard to S3 Glacier 1 day after they are uploaded, since they are only needed twice a year for ML trainings and audits that are planned weeks in advance. S3 Glacier is a storage class for data archiving that offers secure, durable, and extremely low-cost storage with retrieval times ranging from minutes to hours.
You can expire the image files after 30 days, since they become irrelevant after 1 month.
References:
https://docs.aws.amazon.com/lambda/latest/dg/welcome.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/NotificationHowTo.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html#sc-glacier

NEW QUESTION # 327
Cognito Sync is an AWS service that you can use to synchronize user profile data across mobile devices without requiring your own backend. When the device is online, you can synchronize data.
If you also set up push sync, what does it allow you to do?

A. Notify other devices immediately that an update is available
B. Notify other devices that a user profile is available across multiple devices
C. Synchronize user profile data with less latency
D. Synchronize online data faster

Answer: A

Explanation:
Explanation/Reference:
Explanation:
Cognito Sync is an AWS service that you can use to synchronize user profile data across mobile devices without requiring your own backend. When the device is online, you can synchronize data, and if you have also set up push sync, notify other devices immediately that an update is available.
http://docs.aws.amazon.com/cognito/devguide/sync/

NEW QUESTION # 328
After setting up a Virtual Private Cloud (VPC) network, a more experienced cloud engineer suggests that to achieve low network latency and high network throughput you should look into setting up a placement group. You know nothing about this, but begin to do some research about it and are especially curious about its limitations. Which of the below statements is wrong in describing the limitations of a placement group?

A. You can't move an existing instance into a placement group.
B. Although launching multiple instance types into a placement group is possible, this reduces the likelihood that the required capacity will be available for your launch to succeed.
C. A placement group can span multiple Availability Zones.
D. A placement group can span peered VPCs

Answer: C

Explanation:
A placement group is a logical grouping of instances within a single Availability Zone. Using placement groups enables applications to participate in a low-latency, 10 Gbps network. Placement groups are recommended for applications that benefit from low network latency, high network throughput, or both. To provide the lowest latency, and the highest packet-per-second network performance for your placement group, choose an instance type that supports enhanced networking.
Placement groups have the following limitations:
The name you specify for a placement group a name must be unique within your AWS account.
A placement group can't span multiple Availability Zones.
Although launching multiple instance types into a placement group is possible, this reduces the likelihood that the required capacity will be available for your launch to succeed. We recommend using the same instance type for all instances in a placement group.
You can't merge placement groups. Instead, you must terminate the instances in one placement group, and then relaunch those instances into the other placement group.
A placement group can span peered VPCs; however, you will not get full-bisection bandwidth between instances in peered VPCs. For more information about VPC peering connections, see VPC Peering in the
Amazon VPC User Guide.
You can't move an existing instance into a placement group. You can create an AMI from your existing instance, and then launch a new instance from the AMI into a placement group.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html

NEW QUESTION # 329
A company runs applications on AWS that connect to the company's Amazon RDS database. The applications scale on weekends and at peak times of the year. The company wants to scale the database more effectively for its applications that connect to the database.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon RDS Proxy with a target group for the database. Change the applications to use the RDS Proxy endpoint.
B. Use an AWS Lambda function to provide connection pooling with a target group configuration for the database. Change the applications to use the Lambda function.
C. Use a custom proxy that runs on Amazon EC2 as an intermediary to the database. Change the applications to use the custom proxy endpoint.
D. Use Amazon DynamoDB with connection pooling with a target group configuration for the database.
Change the applications to use the DynamoDB endpoint.

Answer: A

Explanation:
Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon Relational Database Service (RDS) that makes applications more scalable, more resilient to database failures, and more secure1. RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability2. RDS Proxy also reduces failover times for Aurora and RDS databases by up to 66% and enables IAM authentication and Secrets Manager integration for database access1. RDS Proxy can be enabled for most applications with no code changes2.

NEW QUESTION # 330
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